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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Martabe : Jurnal Pengabdian Kepada Masyarakat ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA The IJICS (International Journal of Informatics and Computer Science) Indonesian Journal of Education and Mathematical Science Journal of Applied Engineering and Technological Science (JAETS) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Indonesian Journal of Electrical Engineering and Computer Science INFOKUM Computer Science and Information Technologies Ihsan: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) International Journal Of Science, Technology & Management (IJSTM) LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Proceeding International Seminar of Islamic Studies Prosiding Snastikom sudo Jurnal Teknik Informatika Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Internasional Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Blend Sains Jurnal Teknik Wahana TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi International Journal of Economic, Technology and Social Sciences (Injects) Jurnal Sains Student Research Jurnal Pengabdian Barelang Jurnal Komprehenshif Hanif Journal of Information Systems Electronic Integrated Computer Algorithm Journal Jurnal Sains, Teknologi dan Komputer Economic: Journal Economic and Business Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Pengabdiaan Masyarakat Larisma Al'Adzkiya International of Computer Science and Information Technology Journal AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal Tsabit
Al Khowarizmi
Universitas Muhammadiyah Sumatera Utara
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Optimization of Applied Detection Rate in the Simple Evolving Connectionist System Method for Classification of Images Containing Protein Syah, Rahmad; Al-Khowarizmi, Al-Khowarizmi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20508

Abstract

Digital image processing in general to makes images that appear converted to a function of light intensity represented in a two-dimensional plane. The function is a value that will be processed for classification so that the computer is able to recognize the image. Besides classification requires training and testing to produce a small error value and optimal algorithm. The problem of optimization is closely related to the principles and findings of science. Getting the smallest error value by calculating using MAPE for that MAPE calculation is done by using the Detection Rate formula to generalize knowledge in order to find the optimal model. Thus, the application of ANN is very suitable for optimizing classification using the Simple Evolving Connectionist System Method and as the result, the classification of images containing protein with test data is that the eggs work with optimal proof of achieving MAPE without modification of 0.1947% and MAPE which has been modified with the formula detection rate of 0.05554633%.
Sistem Informasi Desa Berbasis Digitalisasi Menuju Smart Village di Desa Bandar Pulau Pekan Kabupaten Asahan Fariz, Miftah; Khowarizmi, Al; Harahap, Muhammad Said; Ginting, Nurman; Pradesyah, Riyan
EDU SOCIETY: JURNAL PENDIDIKAN, ILMU SOSIAL DAN PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 3 (2024): Oktober 2024-Januari 2025
Publisher : Association of Islamic Education Managers (Permapendis) Indonesia, North Sumatra Province

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/edu.v4i3.545

Abstract

Pengembangan sistem informasi desa berbasis digital, sangat dibutuhkan dalam pelaksanaan tata kelola pemerintahan desa, yang berorientasi pada pelayanan publik yang efektif dan efisien secara pengerjaan dan waktu. Agar segala bentuk perkembangan tersebut di atas, dapat terlaksana di pemerintahan desa, tergantung pada kesediaan sumber daya manusiayang memiliki skill dan kompetensi, dalam mengoperasikan sistem informasi berbasis digital. Sistem informasi desa berbasis digital, merupakan aplikasi berbasis web yang dapat mengelola data kependudukan serta tersedianya pelayananadministrasi kependudukan desa seperti, pembuatan surat keterangan lahir, surat keterangan domisili, surat keterangan usaha, dan surat keterang-keterangan lainnya. Di samping itu juga, sistem informasi desa berbasis digital, menyediakanpelayanan permohonan pembuatan kartu tanda penduduk, kartu keluarga, dan akta kelahiran. Sehingga membantu percepatan pelayanan desa. Desa Bandar Pulau Pekan Kabupaten Asahan, merupakan salah satu desa yang masih menggunakan atau menerapkan sistem informasi desa secara manual. Sehingga sering terjadi keterlambatan waktu, dalam pengurusan surat-surat kependudukan yang diperlukan masyarakat. Di samping itu juga, pengarsipan desa masih bersifat konvensional, sehingga perangkatan desa yang ada di Desa Bandar Pulau Pekan, mengalami kesulitan untuk mencari arsip yang dibutuhkan masyarakat, dengan waktu yang sudah lama waktunya. Maka dari itu, perlunya pendampingan untuk dapat mewujudkan sistem informasi desa berbasis digitalisasi, sebagai upaya dalam upaya mewujudkan smart village.
Pemanfaatan Internet of Things (IoT) pada Bidang Pertanian Menggunakan Arduino UnoR3 Sari, Indah Purnama; Novita, Aisar; Al-Khowarizmi, Al-Khowarizmi; Ramadhani, Fanny; Satria, Andy
Blend Sains Jurnal Teknik Vol. 2 No. 4 (2024): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v2i4.505

Abstract

Kemajuan teknologi di era modern menuntut efisiensi dan kenyamanan penggunaan menjadi prioritas utama dalam menjalankan tugas sehari-hari. Hal ini mendorong banyak individu untuk menciptakan berbagai macam teknologi otomatis yang dapat menyederhanakan tugas dan menghemat waktu. Internet of Things (IoT) adalah teknologi yang menghubungkan kita dengan perangkat melalui internet, sehingga menjadikan segalanya lebih nyaman. Tujuan dari penelitian ini adalah untuk menyelidiki potensi penerapan IoT dalam industri pertanian Indonesia, salah satu sektor perekonomian negara. Perekonomian Indonesia sangat dipengaruhi oleh sektor pertanian yang menghasilkan berbagai macam barang seperti beras, jagung, kelapa sawit, lada, kopi, dan teh. Penulis menggunakan metode penulisan tinjauan pustaka/studi pustaka pada karya ilmiah yang ditulis. Luaran karya ilmiah ini merupakan gambaran penerapan teknologi IoT di bidang pertanian, yang nantinya dapat membantu masyarakat dalam meningkatkan produktivitas dan kualitas hasil pertaniannya. Selain itu, akan disertakan kutipan dalam setiap uraian setiap penggunaan teknologi IoT, yang dapat dijadikan referensi untuk mendapatkan pemahaman lebih dalam setiap penggunaan.
Perancangan dan Implementasi Drone Flysurveil Berbasis IoT untuk Sistem Pengawasan Otomatis Triantono, Gatot; Al-Khowarizmi, Al-Khowarizmi
Jurnal Sains, Teknologi & Komputer Vol. 2 No. 1 (2025): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v2i1.1152

Abstract

The development of drone technology has had a significant impact on various sectors, including agriculture, security, and environmental monitoring. The Flysurveil drone was developed under the P2MW program as an innovative solution in IoT-based surveillance systems. This study aims to analyze the Flysurveil drone production process and identify technical challenges encountered in its development. The research methods used include literature review, observation, and technical analysis of the components and systems used in drone production. The results show that the Flysurveil drone production process includes several main stages, namely design, component selection, assembly, and testing. The main components used include Arduino and ESP32 microcontrollers, GPS modules, cameras, and brushless motors controlled by ESCs. However, several technical challenges were encountered, such as optimizing battery life, control system stability, and limitations in real-time data communication. This research is expected to provide insights for drone developers in improving production efficiency and the quality of drone-based surveillance systems. In addition, this research also contributes to the development of more adaptive and competitive drone technology in both domestic and global markets.
IMPLEMENTASI APLIKASI POINT OF SALES PADA KELOMPOK UMKM KARANG TARUNA KECAMATAN MEDAN KOTA DALAM UPAYA PEMBERDAYAAN DIGITAL ECONOMY Al-Khowarizmi, Al-Khowarizmi; Sari Hutagalung, Fatma; Maulana, Halim
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 10 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i10.4041-4048

Abstract

Di era digital ini, adopsi teknologi menjadi kunci keberhasilan dan keberlanjutan usaha mikro, kecil, dan menengah (UMKM). Namun, banyak UMKM di Kecamatan Medan Kota yang masih menghadapi tantangan dalam mengintegrasikan teknologi ke dalam operasional mereka, termasuk penggunaan aplikasi Point of Sales (POS). Penelitian ini bertujuan untuk mengkaji implementasi aplikasi POS pada Kelompok UMKM Karang Taruna Kecamatan Medan Kota sebagai upaya pemberdayaan ekonomi digital. Pada penerapan aplikasi point of sales akan menggunakan metode pengembangan perangkat lunak yaitu system development life cycle (SDLC). Hasil penelitian menunjukkan bahwa implementasi aplikasi POS memberikan dampak positif terhadap efisiensi operasional UMKM hal ini dibuktikan dengan hasil kuisioner yang menghasilkan nilai rata rata cukup baik dari sisi kinerja aplikasi, kemudahaan penggunaan, fitur yang tersedua dan kepuasaan secara keseluruha kemudian pelaku UMKM juga terbantu dalam hal pengelolaan transaksi, pengelolaan barang. Namun, penelitian ini juga menemukan beberapa hambatan, seperti keterbatasan literasi digital dan resistensi terhadap perubahan teknologi. Untuk mengatasi hambatan ini, disarankan adanya pelatihan intensif dan pendampingan yang berkelanjutan bagi UMKM. Penerapan aplikasi ini dapat meningkatkan daya saing UMKM dan mendorong pertumbuhan ekonomi lokal melalui pemberdayaan digital. Dengan implementasi yang tepat, aplikasi POS dapat menjadi alat yang efektif dalam mempercepat transformasi digital UMKM, memperluas akses pasar, dan meningkatkan kesejahteraan ekonomi.
Implementation of The Sales and Purchase Program Application Using The Rapid Application Development Model Web – Based Ichsan, Aulia; Al-Khowarizmi, Al-Khowarizmi; Azhari, Mulkan
Tsabit Journal of Computer Science Vol. 1 No. 1 (2024): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit21

Abstract

The development of information technology is currently developing rapidly and rapidly, which is supported by one of the means, namely computers. Of course, computers that are equipped with certain applications are used to help make human work easier in managing data for an organization or company so that they get accurate results that meet their needs. The results of observations that have been made show that sales and purchasing activities still use manual systems, one of which is in clothing stores. Starting from processing goods data, difficulties checking stock, purchasing transactions, sales transactions, as well as storing other data related to all types of activities, which can cause losses for shop owners, errors in recording and inaccurate reports being made. Judging from the large number of transactions carried out at clothing stores, a faster and more accurate information system is needed. Therefore, the author created a computerized program design using the Microsoft Visual Basic.net programming language and MySQL database, so that information and activities that occur can be carried out quickly and accurately. The method used in designing this program uses the Rapid Application Development (RAD) model. This RAD model is an adaptation of the high-speed version of the waterfall model for the development of each software component. The results achieved from discussing this theme are in the form of ready-to-use sales and purchasing program applications. In this case, the use of program applications is the best solution to solve existing problems, and by using program applications an effective and efficient activity can be achieved in supporting activities, especially for handling sales and purchasing problems.
PENGARUH GAMIFIKASI KAHOOT TERHADAP HASIL BELAJAR BAHASA INGGRIS DENGAN METODE K-MEANS CLUSTERING Prastyono, Reza; Al-Khowarizmi, Al-Khowarizmi
LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Vol. 6 No. 1 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/learning.v6i1.8398

Abstract

This study examines the effectiveness of Kahoot! as an interactive learning medium for improving English learning outcomes among fifth-grade students at Satit Phattanawitya Yala, Thailand, and further classifies students’ achievement levels using the K-Means Clustering method. A quantitative approach with a quasi-experimental pretest–posttest control group design was employed, involving 63 students divided into an Experimental Group (31 students) receiving Kahoot!-based instruction and a Control Group (32 students) receiving conventional instruction. Learning outcome data were analyzed using t-tests, N-Gain calculations, and K-Means clustering to identify patterns of performance improvement. The findings indicate that the Experimental Group achieved significantly higher posttest scores (M = 86.65; SD = 5.21) than the Control Group (M = 74.59; SD = 3.45), with t = 10.860 and p < 0.05. K-Means analysis classified students in the Experimental Group into three categories: High Performers (19.4 percent), Medium Performers (58.1 percent), and Low Performers (22.6 percent), reflecting a more optimal distribution of improvement compared to the control group. The N-Gain values further demonstrate medium–high effectiveness for the Experimental Group (61.63 percent) and low effectiveness for the Control Group (27.60 percent), while Cohen’s d = 2.737 signifies a very strong effect size. These results confirm that Kahoot! significantly enhances English learning outcomes and produces a more progressive performance distribution than conventional instructional methods. ABSTRAK Studi ini menganalisis efektivitas penggunaan Kahoot! sebagai media pembelajaran interaktif dalam meningkatkan hasil belajar bahasa Inggris pada siswa kelas 5 di Satit Phattanawitya Yala, Thailand, serta melakukan klasifikasi tingkat pencapaian siswa menggunakan metode K-Means Clustering. Penelitian ini menerapkan pendekatan kuantitatif melalui desain kuasi-eksperimental pretest-posttest dengan kelompok kontrol, melibatkan 63 siswa yang terbagi menjadi Kelompok Eksperimen (31 siswa) yang menerima pembelajaran berbasis Kahoot! dan Kelompok Kontrol (32 siswa) yang belajar dengan metode konvensional. Data hasil belajar dianalisis melalui uji-t, perhitungan N-Gain, dan pengelompokan K-Means untuk mengidentifikasi pola peningkatan capaian siswa. Hasil penelitian menunjukkan bahwa skor pascates kelompok eksperimen (M = 86,65; SD = 5,21) secara signifikan lebih tinggi dibandingkan kelompok kontrol (M = 74,59; SD = 3,45), dengan nilai t = 10,860 dan p < 0,05. Analisis K-Means mengklasifikasikan siswa kelompok eksperimen ke dalam tiga kategori performa, yaitu Performer Tinggi (19,4%), Performer Sedang (58,1%), dan Performer Rendah (22,6%), yang merefleksikan sebaran peningkatan capaian yang lebih optimal dibandingkan kelompok kontrol. Perhitungan N-Gain juga menunjukkan efektivitas sedang–tinggi pada kelompok eksperimen (61,63%) dan efektivitas rendah pada kelompok kontrol (27,60%), sedangkan nilai Cohen’s d = 2,737 mengindikasikan besaran efek yang sangat kuat. Temuan ini menegaskan bahwa penggunaan Kahoot! secara signifikan mampu meningkatkan hasil belajar bahasa Inggris dan menghasilkan distribusi performa siswa yang lebih progresif dibandingkan metode konvensional.  
An Optimization Approach Goal Programming to Improve the Academic and Administrative Quality of Postgraduate Programs Azis, Zainal; Al-Khowarizmi, Al-Khowarizmi; Harahap, Tua Halomoan; Firdaus, Muliawan; Irvan, Irvan
Indonesian Journal of Education and Mathematical Science Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i1.28873

Abstract

The main objective of this article is to implement the GP approach to improve academic and administrative performance at UMSU postgraduates. In the context of expected results, this article is intended so that UMSU postgraduates can establish strategies to achieve higher academic standards and create a more conducive educational environment through achieving predetermined targets, which include improving the quality of teaching and learning, effectiveness of program administration, and student and lecturer satisfaction with the academic process. The article can make a significant contribution to the academic literature in the field of educational management and operations by offering a new perspective on the application of GP and AHP in a higher education context. Specifically, this article shows how quantitative approaches can be used to improve decision making in the management of academic programs and administration, thereby providing valuable practical and theoretical insights for the development of educational policy and managerial practice in the higher education sector. It can be seen from the results that the parameters in this paper contribute to the weight of the objective (w_1), target (T_1), and the budget constraint (B), all of which play an important role in determining the optimal solution produced by the model
Explainable Data-Driven Machine Learning for Identifying MBG Program Beneficiaries in Medan City Solly Solly Aryza; Al Khowarizmi; Muhammad Furqon; Zulkarnain Lubis; Abdul Razak Nasution
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29560

Abstract

The effectiveness of social assistance programs depends heavily on the accuracy and transparency of beneficiary identification. In many urban areas, including Medan, challenges such as incomplete data, administrative bias, and inefficient targeting often lead to inclusion and exclusion errors in determining beneficiaries of the MBG (Makan Bergizi Gratis) program. This study aims to develop an explainable data-driven machine learning model to improve the accuracy and transparency of identifying eligible MBG program beneficiaries. The research employs a quantitative approach using socio-economic and demographic datasets collected from local government records, including variables such as household income, employment status, education level, household size, housing conditions, and access to public services. Several machine learning algorithms, including Random Forest, Gradient Boosting, and Logistic Regression, are implemented to classify potential beneficiaries. To enhance transparency and interpretability, the model integrates Explainable Artificial Intelligence (XAI) techniques, such as SHAP (Shapley Additive Explanations), to identify the most influential factors affecting eligibility predictions. The results demonstrate that the proposed data-driven model significantly improves the accuracy of beneficiary classification while providing interpretable insights into key socio-economic indicators influencing eligibility. The findings indicate that income level, employment status, household dependency ratio, and housing conditions are among the most critical determinants in identifying eligible recipients. The implementation of explainable machine learning models supports more transparent and accountable decision-making in social assistance programs. This research contributes to the development of data-driven governance by providing a robust analytical framework for improving the targeting efficiency of social welfare programs in urban areas. Practically, the proposed framework can assist policymakers and local government agencies in designing fairer and more efficient beneficiary identification systems for the MBG program in Medan City, ultimately supporting better resource allocation and improved social welfare outcomes.
Visual Detection of Oil Palm Maturity Leveraging Simple Evolving Connectionist System Al-Khowarizmi Al-Khowarizmi; Fatma Sari Hutagalung; Halim Maulana
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/kvqm6450

Abstract

Detecting the ripeness of oil palm fruit bunches is a crucial process in the palm oil industry to ensure the quality and quantity of oil extracted. Conventional methods still rely on subjective and inefficient manual observation. This study proposes a visual detection system using the Simple Evolving Connectionist System (SECoS) algorithm to identify the ripeness of oil palm bunches based on visual images. This model utilizes color, texture, and shape characteristics extracted from images and processed through an adaptive and evolving neural network structure. The results demonstrate that SECoS is capable of high detection accuracy and adapts to new data patterns. This system has the potential to be applied in precision agriculture practices. The model achieved an average accuracy of 91.3%, with the highest accuracy of 94% in the "Ripe" category in the final test based on 300 dataset. This demonstrates that parameter optimization is crucial in improving the model's ability to adapt to variations in oil palm bunch image data. Accuracy improvements were evident in both training and validation data. However, not all categories achieved optimal results, with accuracy for the "empty bunch" labels (89%) and "unripe" labels (88%) being relatively lower than for the other categories.
Co-Authors Abdul Razak Nasution Ade Haikal Adidtya Perdana, Adidtya Adila Mawaddah Meuraxa Ahmad Al Qodri Ajulio Padly Sembiring Akbar Idaman Al Hamidy Albara Amrullah Amrullah Amrullah Andy Satria Angkat, Fhatiya Alzahra Anton Abdulbasah Kamil Aulia Jannah Baehaqi Bela Bela Budi Kurniawan Hutasuhut Diana, Has Dicky Apdilah Edy Rahman Syahputra Efendi, Syahril Elveny, Marischa Fadhilah, Ulfa Faizi, Setyo Fahmi Noor Faradillah, Yanty Farid Akbar Siregar Fatma Sari Hutagalung Fauzi FAUZI . Faza, Sharfina Ferry Fachrizal - Firahmi Rizky Frainskoy Rio Naibaho Gabriel Ardi Hutagalung Gaizka Pasya Dermawan Sinukaban Ginting, Nurman Habibi Ramdani Safitri Halim Maulana Hapzi Ali Harefa, Hafid Rahman Hariani, Pipit Putri Hasanuddin Hasanuddin Hasdiana Herman Mawengkang Hutagalung , Fatma Sari Hutagalung, Fatma Sari Ichsan, Aulia Ilham Ramadhan Nasution Indah Purnama Sari Indah Purnama Sari Irvan, Irvan Ismail Hanif Batubara Julham Julham Julham Julham Kamil, Idham Lubis, Arif Ridho Lubis, Mhd Muchlisin M. Iqbal Tanjung M.Pd, Akrim Mahyuddin K. M Nasution Mandra Saragih Manurung, Asrar Aspia Marah Doly Nasution Ma’ajid, Farhan Riqi MD, Pipit Putri Hariani Mhd Faris Pratama Mhd. Basri Michael J Watts Miftah Fariz Prima Putra Muhammad Basri Muhammad Furqon Muhammad Luthfi Hamzah Muhammad Revi Akbar Muhammad Rizky Pratama Siregar Muhammad Said Harahap Muharman Lubis Muhathir, Muhathir Muliawan Firdaus Mulkan Azhari Mutiara Akbar Nasution Nadeak, Nurhalimah Nasution, Tia Alfi Sahara Niken Aprilina Oris Krianto Sulaiman Permatasari, Dhyta Pipit Putri Hariani MD Pradesyah, Riyan Pradesyah, Riyan Prastyono, Reza Prayoga Sungkowo Prayudani, Santi Putri, Berlianda Oktariani Jelita Putri, Wan Hafizah Ainun Syah Rahmad B.Y Syah Rahmad Syah Rahmad Syah, Rahmad Rahmat Mushlihuddin Ramadhani, Fanny Romi Fadillah Rahmat Sarah Purnamawati Sari Hutagalung, Fatma Sibarani, Theofil Tri Saputra Simanungkalit, Ahmad Hazazi Siregar, Ananda Afifah Siregar, Muhammad Rizky Pratama Solly Aryza Suherman, Suherman Triantono, Gatot Tua Halomoan Harahap, Tua Halomoan Umi Salamah Vicky Rolanda Wasesa, Istikha Ruchitra Hayudirga Watts, Michael J. Yoshida Sary Yuyun Yusnida Lase Zhafirah, Zhahrah